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Empirical Inference Autonomous Learning Conference Paper Advancing Out-of-Distribution Detection via Local Neuroplasticity Canevaro, A., Schmidt, J., Marvi, M. S., Yu, H., Martius, G., Jordan, J. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Perceiving Systems Conference Paper Can Large Language Models Understand Symbolic Graphics Programs? Qiu, Z., Liu, W., Feng, H., Liu, Z., Xiao, T. Z., Collins, K. M., Tenenbaum, J. B., Weller, A., Black, M. J., Schölkopf, B. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Compositional simulation-based inference for time series Gloeckler*, M., Toyota*, S., Fukumizu, K., Macke, J. H. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Learning and Dynamical Systems Conference Paper Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering Kladny, K., Schölkopf, B., Muehlebach, M. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) URL BibTeX
Empirical Inference Perceiving Systems Conference Paper Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets Liu, Z., Xiao, T. Z., Liu, W., Bengio, Y., Zhang, D. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Robust Machine Learning Conference Paper Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning Reizinger, P., Guo, S., Huszár, F., Schölkopf, B., Brendel, W. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Language Model Alignment in Multilingual Trolley Problems Jin, Z., Kleiman-Weiner, M., Piatti, G., Levine, S., Liu, J., Gonzalez, F., Ortu, F., Strausz, A., Sachan, M., Mihalcea, R., et al. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Autonomous Learning Conference Paper On the Transfer of Object-Centric Representation Learning Didolkar, A. R., Zadaianchuk, A., Goyal, A., Mozer, M. C., Bengio, Y., Martius, G., Seitzer, M. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Standardizing Structural Causal Models Ormaniec*, W., Sussex*, S., Lorch*, L., Schölkopf, B., Krause, A. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, *equal contribution, Accepted (Accepted) BibTeX
Perceiving Systems Conference Paper CHOIR: A Versatile and Differentiable Hand-Object Interaction Representation Morales, T., Taheri, O., Lacey, G. Winter Conference on Applications of Computer Vision (WACV), February 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Why AI Is WEIRD and Should Not Be This Way: Towards AI For Everyone, With Everyone, By Everyone Mihalcea*, R., Ignat*, O., Bai, L., Borah, A., Chiruzzo, L., Jin, Z., Kwizera, C., Nwatu, J., Poria, S., Solorio, T. The Thirty-Nineth AAAI Conference on Artificial Intelligence, AAAI 2025 (Senior Member Presentation Track), AAAI Press, February 2025, *equal contribution, Accepted (Accepted) URL BibTeX
Social Foundations of Computation Conference Paper Lawma: The Power of Specialization for Legal Tasks Dominguez-Olmedo, R., Nanda, V., Abebe, R., Bechtold, S., Engel, C., Frankenreiter, J., Gummadi, K., Hardt, M., Livermore, M. The Thirteenth International Conference on Learning Representations (ICLR 2025), January 2025, Accepted (Accepted) ArXiv Code BibTeX
Social Foundations of Computation Conference Paper Limits to Scalable Evaluation at the Frontier: LLM as Judge Won’t Beat Twice the Data Dorner, F. E., Nastl, V. Y., Hardt, M. The Thirteenth International Conference on Learning Representations (ICLR 2025 Oral), January 2025, Accepted (Accepted) arXiv URL BibTeX
Empirical Inference Conference Paper Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation Sanyal, A., Hu, Y., Yu, Y., Ma, Y., Wang, Y., Schölkopf, B. The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), May 2025, Accepted (Accepted) BibTeX
Dynamic Locomotion Conference Paper Bird-inspired tendon coupling improves paddling efficiency by shortening phase transition times Lin, J., Zhao, G., Badri-Spröwitz, A. Proceedings of ICRA 2025, :6, arxiv, NY, ICRA, 2025, Accepted (Accepted) DOI URL BibTeX
Empirical Inference Robust Machine Learning Conference Paper Cross-Entropy Is All You Need to Invert the Data Generating Process Reizinger*, P., Bizeul*, A., Juhos*, A., Vogt, J. E., Balestriero, R., Brendel, W., Klindt, D. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, *equal contribution, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Differential private steering for Large language model alignment Goel, A., Hu, Y., Gurevych, I., Sanyal, A. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Improving Probabilistic Diffusion Models With Optimal Covariance Matching Ou, Z., Zhang, M., Zhang, A., Xiao, T. Z., Li, Y., Barber, D. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Influence Functions for Scalable Data Attribution in Diffusion Models Mlodozeniec, B., Eschenhagen, R., Bae, J., Immer, A., Krueger, D., Turner, R. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Robust Machine Learning Conference Paper Interaction Asymmetry: A General Principle for Learning Composable Abstractions Brady*, J., von Kügelgen, J., Lachapelle, S., Buchholz, S., Kipf, T., Brendel, W. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Preference Elicitation for Offline Reinforcement Learning Pace, A., Schölkopf, B., Rätsch, G., Ramponi, G. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper The Directionality of Optimization Trajectories in Neural Networks Singh, S. P., He, B., Hofmann, T., Schölkopf, B. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Training Neural Samplers with Reverse Diffusive KL Divergence He*, J., Chen*, W., Zhang*, M., Barber, D., Hernández-Lobato, J. M. The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), May 2025, *equal contribution, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis Ormaniec, W., Dangel, F., Singh, S. P. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector Zhang, A., Xiao, T. Z., Liu, W., Bamler, R., Wischik, D. The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), May 2025, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs Opedal*, A., Shirakami*, H., Schölkopf, B., Saparov, A., Sachan, M. The Thirteenth International Conference on Learning Representations (ICLR), April 2025, *equal contribution, Accepted (Accepted) BibTeX
Empirical Inference Conference Paper From Causal to Concept-Based Representation Learning Rajendran*, G., Buchholz*, S., Aragam, B., Schölkopf, B., Ravikumar, P. K. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:101250-101296, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Learning Partitions from Context Buchholz, S. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:140066-140112, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving Didolkar, A. R., Goyal, A., Ke, N. R., Guo, S., Valko, M., Lillicrap, T. P., Rezende, D. J., Bengio, Y., Mozer, M. C., Arora, S. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:19783-19812, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Conference Paper A Generative Model of Symmetry Transformations Allingham, J. U., Mlodozeniec, B. K., Padhy, S., Antorán, J., Krueger, D., Turner, R. E., Nalisnick, E., Hernández-Lobato, J. M. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:91091-91130, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Social Foundations of Computation Algorithms and Society Conference Paper Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists Baumann, J., Mendler-Dünner, C. Advances in Neural Information Processing Systems 37 (NeurIPS 2024) , The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), December 2024 (Published) arXiv URL BibTeX
Social Foundations of Computation Algorithms and Society Conference Paper An Engine Not a Camera: Measuring Performative Power of Online Search Mendler-Dünner, C., Carovano, G., Hardt, M. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), December 2024 (Published) ArXiv URL BibTeX
Empirical Inference Conference Paper Causal vs. Anticausal merging of predictors Garrido Mejia, S., Blöbaum, P., Schölkopf, B., Janzing, D. Advances in Neural Information Processing Systems 37 (NeurIPS 2024) , 37:1402-1427, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias Chen*, Y., Vethavikashini*, C. R., Mattern*, J., Mihalcea, R., Jin, Z. NeurIPS 2024 Workshop on Causality and Language Models (CaLM), December 2024, *equal contribution (Published) DOI URL BibTeX
Empirical Inference Conference Paper Cooperate or Collapse: Emergence of Sustainability in a Society of LLM Agents Piatti*, G., Jin*, Z., Kleiman-Weiner*, M., Schölkopf, B., Sachan, M., Mihalcea, R. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:111715-111759, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024, *equal contribution (Published) arXiv URL BibTeX
Social Foundations of Computation Conference Paper Do Causal Predictors Generalize Better to New Domains? Nastl, V. Y., Hardt, M. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Spotlight Poster, December 2024 (Published) ArXiv URL BibTeX
Empirical Inference Conference Paper Do Finetti: On Causal Effects for Exchangeable Data Guo, S., Zhang, C., Muhan, K., Huszár*, F., Schölkopf*, B. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:127317-127345, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024, *equal supervision (Published) URL BibTeX
Social Foundations of Computation Algorithms and Society Conference Paper Evaluating Language Models as Risk Scores Cruz, A. F., Hardt, M., Mendler-Dünner, C. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), December 2024 (Published) ArXiv Code URL BibTeX
Empirical Inference Conference Paper Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes Lin, J. A., Padhy, S., Mlodozeniec, B. K., Antorán, J., Hernández-Lobato, J. M. Advances in Neural Information Processing Systems 37 (NeurIPS 2024) , 37:15460-15496, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Inferring stochastic low-rank recurrent neural networks from neural data Pals, M., Sağtekin, A. E., Pei, F., Gloeckler, M., Macke, J. Advances in Neural Information Processing Systems 37 (NeurIPS 2024) , 37:18225-18264, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Latent Diffusion for Neural Spiking Data Kapoor, J., Schulz, A., Vetter, J., Pei, F., Gao, R., Macke, J. H. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:118119-118154, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Limits of Transformer Language Models on Learning to Compose Algorithms Thomm, J., Camposampiero, G., Terzic, A., Hersche, M., Schölkopf, B., Rahimi, A. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:7631-7674, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks Chen, W., Ge, H. Advances in Neural Information Processing Systems 37 (NeurIPS 2024) , 37:97562-97586, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Conference Paper On Affine Homotopy between Language Encoders Chan, R., Bourmasmoud, R., Svete, A., Ren, Y., Guo, Q., Jin, Z., Ravfogel, S., Sachan, M., Schölkopf, B., El-Assady, M., et al. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:73337-73365, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Social Foundations of Computation Algorithms and Society Conference Paper Questioning the Survey Responses of Large Language Models Dominguez-Olmedo, R., Hardt, M., Mendler-Dünner, C. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Oral, December 2024 (Published) ArXiv URL BibTeX
Empirical Inference Conference Paper Shaving Weights with Occam’s Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood Dhahri, R., Immer, A., Charpentier, B., Günnemann, S., Fortuin, V. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:24959-24989, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation Vetter, J., Moss, G., Schröder, C., Gao, R., Macke, J. H. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:88772-88806, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX
Social Foundations of Computation Conference Paper The Fairness-Quality Trade-off in Clustering Hakim, R., Stoica, A., Papadimitriou, C. H., Yannakakis, M. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), December 2024 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Theoretical Characterisation of the Gauss Newton Conditioning in Neural Networks Zhao*, J., Singh*, S. P., Lucchi, A. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:114965-115000, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper What Makes and Breaks Safety Fine-tuning? A Mechanistic Study Jain, S., Lubana, E. S., Oksuz, K., Joy, T., Torr, P., Sanyal, A., Dokania, P. K. Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 37:93406-93478, (Editors: A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang), Curran Associates, Inc., 38th Annual Conference on Neural Information Processing Systems, December 2024 (Published) URL BibTeX